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Hsu et al.: LLM-Voiced NPCs Make Players' Heads Heavier -- A 'Double-Edged Sword' Experiment — Fukai Reads
An empirical LLM-NPC paper by Hsu et al. (Communication University of China and others). They built a scripted-NPC version and a GPT-4.1 LLM-NPC version of the same game and ran a between-subjects test with 130 players. LLM-NPCs significantly raised cognitive load (p<.001), did not significantly improve overall enjoyment (p=.195), and increased autonomy while lowering usability and trust.
Wermann et al.: How In-Game AI 'Words' vs 'Demonstration' Change Learning and Cognitive Load — Fukai Reads
A pre-registered experiment by LMU Munich and colleagues comparing 'verbal' and 'demonstration' support from an in-game AI NPC. Splitting 152 people into three groups in Qookies, a quantum-technology learning game, they found no difference in learning gains between conditions, but the verbal-plus-visual group reported significantly lower intrinsic cognitive load than the verbal-only group (d=0.60).
Wang et al.: An LLM Agent That Reads Mental Busyness From Gaze — Fukai Reads
A paper from Meta Reality Labs and collaborators that estimates cognitive load (mental busyness) from eye gaze. It tackles the poor generalization and low interpretability of prior methods with GazeMind, a framework that structures gaze and has an LLM reason over it with context, individual traits, and worked examples, reporting 62.73% accuracy on three-way classification (over 20 points above prior methods).
Munk et al.: Generating Dynamic Game Text with Small Language Models — Fukai Reads
A paper by Munk et al. (IT University of Copenhagen) on generating in-game text dynamically with small language models (SLMs). It tackles the offline, cost and consistency walls of cloud LLMs using small models aggressively fine-tuned for narrow jobs. Their proof of concept, DefameLM, runs a medieval-RPG smear-poster loop, showing a one-billion-parameter-class model reaches high quality in a few seconds on a consumer PC.
